Relevant bibliographies by topics / Longitudinal clusters

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Longitudinal clusters'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Longitudinal clusters"

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Costa, Clotilde, Laura Muinelo-Romay, Victor Cebey-López, et al. "Analysis of a Real-World Cohort of Metastatic Breast Cancer Patients Shows Circulating Tumor Cell Clusters (CTC-clusters) as Predictors of Patient Outcomes." Cancers 12, no. 5 (2020): 1111. http://dx.doi.org/10.3390/cancers12051111.

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Circulating tumor cell (CTC) enumeration has emerged as a powerful biomarker for the assessment of prognosis and the response to treatment in metastatic breast cancer (MBC). Moreover, clinical evidences show that CTC-cluster counts add prognostic information to CTC enumeration, however, their significance is not well understood, and more clinical evidences are needed. We aim to evaluate the prognostic value of longitudinally collected single CTCs and CTC-clusters in a heterogeneous real-world cohort of 54 MBC patients. Blood samples were longitudinally collected at baseline and follow up. CTC
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Landsberg, Beate, Sandra Plachta-Danielzik, Dominique Lange, Maike Johannsen, Jasmin Seiberl, and Manfred James Müller. "Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study." Public Health Nutrition 13, no. 10A (2010): 1708–15. http://dx.doi.org/10.1017/s1368980010002260.

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AbstractObjectiveTo identify lifestyle clusters in adolescents and to characterize their association with overweight and obesity.DesignCross-sectional and longitudinal data of the Kiel Obesity Prevention Study.SettingSchools in Kiel, Germany.Subjects and methodsCross-sectional data of 1894 adolescents aged 14 years and 4-year longitudinal data of a subsample of 389 children aged 10 and 14 years. Self-reported data of physical activity, modes of commuting to school, media time, nutrition, alcohol consumption and smoking were used to identify lifestyle clusters with two-step cluster analysis. Ob
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Chen, L., and Y. Zhou. "N24 A longitudinal qualitative exploration of symptom clusters in new diagnosed patients with Crohn’s disease." Journal of Crohn's and Colitis 19, Supplement_1 (2025): i2479. https://doi.org/10.1093/ecco-jcc/jjae190.1556.

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Abstract Background There is a burgeoning recognition that symptoms frequently coexist in ‘symptom clusters’, and comprehending these clusters may enhance the management of unrelieved symptoms in patients with Crohn’s disease. However, the nature and dynamics of the symptom clusters among newly diagnosed Chinese Crohn’s disease patients remain poorly understood. Methods A longitudinal qualitative study was adopted to explore the evolution of symptom clusters in newly diagnosed patients with Crohn’s disease within one year. Eighteen patients from two tertiary hospitals in southeast China were r
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Wang, Chun, Zhenchao Zhang, Weelic Chong, et al. "Improved Prognostic Stratification Using Circulating Tumor Cell Clusters in Patients with Metastatic Castration-Resistant Prostate Cancer." Cancers 13, no. 2 (2021): 268. http://dx.doi.org/10.3390/cancers13020268.

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Liquid biopsy-based biomarkers have advantages in monitoring the dynamics of metastatic castration-resistant prostate cancer (mCRPC), a bone-predominant metastatic disease. Previous studies have demonstrated associations between circulating tumor cells (CTCs) and clinical outcomes of mCRPC patients, but little is known about the prognostic value of CTC-clusters. In 227 longitudinally collected blood samples from 64 mCRPC patients, CTCs and CTC-clusters were enumerated using the CellSearch platform. The associations of CTC and CTC-cluster counts with progression-free survival (PFS) and overall
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Eula, Elisabetta, Marco Cesareo, Marco Pappaccogli, et al. "CLUSTER ANALYSIS OF PULSE WAVE VELOCITY LONGITUDINAL TRENDS IN HYPERTENSIVE PATIENTS." Journal of Hypertension 42, Suppl 1 (2024): e307. http://dx.doi.org/10.1097/01.hjh.0001022700.76222.2a.

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Objective: Arterial stiffness (AS) is an important predictor of cardiovascular disease and mortality. Its trend over time, assessed through multiple measurements, is still largely unexplored. The aim of this study was to assess the determinants of trajectories of carotid-femoral pulse wave velocity (PWV) in a cohort of Italian hypertensive adults. Design and method: From a population of 2581 hypertensive patients referred to Hypertension Unit of Internal Medicine Division at University Hospital Città della Salute e della Scienza of Turin (Italy) from 2005 to 2023, those who had at least 3 PWV
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Hao, Jianling, Liyan Gu, Peng Liu, et al. "Symptom clusters in patients with colorectal cancer after colostomy: a longitudinal study in Shanghai." Journal of International Medical Research 49, no. 12 (2021): 030006052110631. http://dx.doi.org/10.1177/03000605211063105.

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Objective Research is lacking regarding the experiences of patients after colostomy, which is needed so as to take necessary specific actions. In this study, we aimed to describe the trajectory of symptom clusters experienced by patients after colostomy over time. Methods This was a longitudinal observational study using data from 149 patients with colorectal cancer after colostomy. We investigated symptoms and symptom clusters at 2 weeks, 1 month, 3 months, 6 months, and 1 year after colostomy. Results Four main symptom clusters were identified, including a psychological symptom cluster, dige
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Tian, Fuchun, Yan Jin, Fengming Jin, et al. "Multi-Fracture Synchronous Propagation Mechanism of Multi-Clustered Fracturing in Interlayered Tight Sandstone Reservoir." Sustainability 14, no. 14 (2022): 8768. http://dx.doi.org/10.3390/su14148768.

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A numerical model was established by using the 3D lattice method to investigate the synchronous propagation mechanism of multiple clusters of hydraulic fractures in interlayered tight sandstone reservoirs in the Songliao Basin in China. The multi-fracture synchronous propagation model under different geological factors and fracturing engineering factors was simulated. The results show that the vertical stress difference, interlayer Young’s modulus, and lithologic interface strength are positively correlated with the longitudinal propagation ability of multiple hydraulic fractures. The three cl
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Pournara, Effie, Matthias Kormaksson, Peter Nash, et al. "Clinically relevant patient clusters identified by machine learning from the clinical development programme of secukinumab in psoriatic arthritis." RMD Open 7, no. 3 (2021): e001845. http://dx.doi.org/10.1136/rmdopen-2021-001845.

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ObjectivesIdentify distinct clusters of psoriatic arthritis (PsA) patients based on their baseline articular, entheseal and cutaneous disease manifestations and explore their clinical and therapeutic value.MethodsPooled baseline data in PsA patients (n=1894) treated with secukinumab across four phase 3 studies (FUTURE 2–5) were analysed to determine phenotypes based on clusters of clinical indicators. Finite mixture models methodology was applied to generate clinical clusters and mean longitudinal responses were compared between secukinumab doses (300 vs 150 mg) across identified clusters and
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Valdaliso, Jesús M., Aitziber Elola, and Susana Franco. "Do clusters follow the industry life cycle?" Competitiveness Review 26, no. 1 (2016): 66–86. http://dx.doi.org/10.1108/cr-02-2015-0006.

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Purpose – This paper aims to examine whether in old industrial regions, the trajectory of clusters follows that of their corresponding industry or deviates from it and which are the factors that account for cluster evolution. This paper deals with the issue of how established clusters either renew or transform themselves in such regions and how they adapt to changes in their corresponding international industries. Design/methodology/approach – This research paper draws from in-depth case studies on six industrial clusters, takes a longitudinal perspective and uses a multi-level and qualitative
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Hoskin, T., A. Vincent, M. Whipple, and S. Nanda. "Longitudinal stability of fibromyalgia symptom clusters." Journal of Pain 19, no. 3 (2018): S108. http://dx.doi.org/10.1016/j.jpain.2017.12.258.

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Dissertations / Theses on the topic "Longitudinal clusters"

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Skerman, Helen Mary. "Alternative analytical methods for the identification of cancer-related symptom clusters." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/34503/1/Helen_Skerman_Thesis.pdf.

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Advances in symptom management strategies through a better understanding of cancer symptom clusters depend on the identification of symptom clusters that are valid and reliable. The purpose of this exploratory research was to investigate alternative analytical approaches to identify symptom clusters for patients with cancer, using readily accessible statistical methods, and to justify which methods of identification may be appropriate for this context. Three studies were undertaken: (1) a systematic review of the literature, to identify analytical methods commonly used for symptom cluster iden
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Tassinari, Wagner de Souza. "Modelagem espacial, temporal e longitudinal: diferentes abordagens do estudo da leptospirose urbana." reponame:Repositório Institucional da FIOCRUZ, 2009. https://www.arca.fiocruz.br/handle/icict/2539.

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Made available in DSpace on 2011-05-04T12:42:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2009<br>(...) O objetivo desta tese foi modelar os fatores de risco associados à ocorrência de leptospirose urbana em diferentes contextos, com especial atenção para aspectos espaciais e temporais. Foram utilizadas técnicas de modelagem tais como, modelos generalizados aditivos e mistos. Também explorou-se técnicas de detecção de aglomerados espaço-temporais. (...)<br>Leptospirosis, a disease caused by pathogenic spirochete of the genus Leptospira, is one of the most widespread zoonoses in the
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Dufour, Alyssa Beth. "Cluster analysis of longitudinal trajectories." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12751.

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Thesis (Ph.D.)--Boston University<br>Cluster analysis is widely used in many disciplines including biology, psychology, archaeology, geography, and marketing. Methods have been developed to extend cluster analysis to longitudinal data, clustering subject trajectories rather than single time points. Here, I examine 2 methods of longitudinal cluster analysis: k-means and model-based (implemented using FlexMix in R) cluster analysis. I compare these two methods based on the Correct Classification Rate, the ability of the method to correctly classify subject trajectories into groups, using a simul
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Gao, Dexiang. "Analysis of clustered longitudinal count data /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences, Department of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 75-77). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Modur, Sharada P. "Missing Data Methods for Clustered Longitudinal Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274876785.

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French, Benjamin. "Analysis of aggregate longitudinal data with time-dependent exposure /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/9569.

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Hu, Zonghui. "Semiparametric functional data analysis for longitudinal/clustered data: theory and application." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3088.

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Semiparametric models play important roles in the &#64257;eld of biological statistics. In this dissertation, two types of semiparametic models are to be studied. One is the partially linear model, where the parametric part is a linear function. We are to investigate the two common estimation methods for the partially linear models when the data is correlated — longitudinal or clustered. The other is a semiparametric model where a latent covariate is incorporated in a mixed effects model. We will propose a semiparametric approach for estimation of this model and apply it to the study on colon
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Fassler, Cecily. "Hormone Phenotypes and the Timing of Pubertal Milestones in a Longitudinal Cohort of Girls." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554212951371174.

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Lehman, Rebecca. "The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4957.

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With the influx of high-dimensional data there is an immediate need for statistical methods that are able to handle situations when the number of predictors greatly exceeds the number of samples. One such area of growth is in examining how environmental exposures to toxins impact the body long term. The cytokinesis-block micronucleus assay can measure the genotoxic effect of exposure as a count outcome. To investigate potential biomarkers, high-throughput assays that assess gene expression and methylation have been developed. It is of interest to identify biomarkers or molecular features that
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Pereira, Bruno. "Développements méthodologiques des essais randomisés en clusters : application aux essais d'intervention." Montpellier 1, 2008. http://www.theses.fr/2008MON1T042.

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Les essais randomisés en clusters (ERC), dans lesquels des clusters d'individus sont assignés aléatoirement à différents groupes d'intervention, sont devenus un outil essentiel dans l'évaluation des interventions non thérapeutiques. Leur popularité croissante au cours des deux dernières décennies a mené à une littérature et une méthodologie riches qui renvoient à plusieurs disciplines dans les sciences statistiques, sociales et médicales. Aussi, face aux questionnements épidémiologiques et aux problèmes statistiques soulevés par ces essais, l'objectif de ce travail réside dans le développement
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Books on the topic "Longitudinal clusters"

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Laird, Nan. Analysis of Longitudinal and Cluster-Correlated Data. Institute of Mathematical Statistics and American Statistical Association, 2004. http://dx.doi.org/10.1214/cbms/1462106075.

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A, Croon Marcel, and Hagenaars Jacques A, eds. Marginal models: For dependent, clustered, and longitudinal categorical data. Springer, 2009.

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1961-, Heo Moonseoung, Zhang Song 1976-, and Kim, Mimi (Mimi Y.), eds. Sample size calculations for clustered and longitudinal outcomes in clinical research. CRC Press, Taylor & Francis, 2015.

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Sutradhar, Brajendra C. Dynamic mixed models for familial longitudinal data. Springer, 2011.

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Analysis of longitudinal and cluster-correlated data. Institute of Mathematical Statistics, 2004.

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Miksza, Peter, and Kenneth Elpus. Multilevel Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0012.

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This chapter introduces a statistical approach for analyzing nested data structures that both accounts for the dependence of observations due to hierarchical arrangements and allows for testing hypotheses at multiple levels. The most common application of multilevel models is for analyses of objects (e.g., people) nested within groups or clusters of some sort. Multilevel models can also be applied to longitudinal data analyses such that the “levels” do not refer to objects nested within groups but instead refer to multiple measurements (e.g., measures made at different occasions/time points) n
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Sutradhar, Brajendra C. Dynamic Mixed Models for Familial Longitudinal Data. Springer, 2013.

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Bergsma, Wicher, Jacques A. Hagenaars, and Marcel A. Croon. Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data. Springer, 2010.

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Zhang, Song, Chul Ahn, and Moonseong Heo. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. Taylor & Francis Group, 2020.

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Zhang, Song, Chul Ahn, and Moonseoung Heo. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. Taylor & Francis Group, 2014.

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Book chapters on the topic "Longitudinal clusters"

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Chen, Hanbo, Armin Iraji, Xi Jiang, Jinglei Lv, Zhifeng Kou, and Tianming Liu. "Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24571-3_24.

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He, Jiang, and M. Hosein Fallah. "Mobility of Innovators and Prosperity of Geographical Technology Clusters: A longitudinal examination of innovator networks in telecommunications industry." In Unifying Themes in Complex Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-85081-6_16.

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Garbani-Nerini, Elide, Elena Marchiori, Rossella Reale, and Lorenzo Cantoni. "Understanding Preferences in Tourism Email Marketing." In Information and Communication Technologies in Tourism 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94751-4_34.

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AbstractNowadays, advanced tools allow the personalization of email communication with tourism clients or prospects based on explicit (e.g. name, age, language, country) and implicit indicators (e.g. ranking of activity in the opening rate of the newsletter, browsing preferences, online preferences provided by cookies, etc.). However, knowing how audiences react to emails allows Destination Marketing Organizations (DMOs) to create content clusters for personalized communication. The purpose of this study is to empirically investigate the preferences on tourism email marketing of different audi
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Kim, Jae Kwang, and Jun Shao. "Longitudinal and Clustered Data." In Statistical Methods for Handling Incomplete Data, 2nd ed. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429321740-9.

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Wang, You-Gan, Liya Fu, and Sudhir Paul. "Clustered Data Analysis." In Analysis of Longitudinal Data with Examples. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315153636-7.

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Crespi, Catherine M. "Cluster randomized trials: longitudinal designs." In Power and Sample Size in R. Chapman and Hall/CRC, 2024. https://doi.org/10.1201/9780429488788-15.

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Tang, Wan, Hua He, and Xin M. Tu. "Longitudinal and Clustered Data Analysis." In Applied Categorical and Count Data Analysis, 2nd ed. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003109815-9.

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Christman, Mary C. "Comparison of Some Sampling Designs for Spatially Clustered Populations." In Modelling Longitudinal and Spatially Correlated Data. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0699-6_15.

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McIsaac, Michael A., and Richard J. Cook. "Response-Dependent Sampling with Clustered and Longitudinal Data." In ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6871-4_8.

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Ralitza, Gueorguieva. "Linear Mixed Models for Longitudinal and Clustered Data." In Statistical Methods in Psychiatry and Related Fields. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315151526-3.

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Conference papers on the topic "Longitudinal clusters"

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El Hamri, M., S. Bouhou, I. Essaoudi, A. Ainane, and R. Ahuja. "Magnetic properties of a diluted transverse spin-1 Ising nanocube with a longitudinal crystal-field." In International Symposium on Clusters and Nanomaterials, edited by Puru Jena and Anil K. Kandalam. SPIE, 2016. http://dx.doi.org/10.1117/12.2235081.

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Mazor, Y., and Ben Z. Steinberg. "Longitudinal chirality, particle clusters, and planar nanoscale one-way guiding." In 2012 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting. IEEE, 2012. http://dx.doi.org/10.1109/aps.2012.6349281.

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Pimenov, Ivan, and Natalia Salomatina. "Analyzing Longitudinal Development of Thematic Clusters Content in Scientific Texts." In 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). IEEE, 2019. http://dx.doi.org/10.1109/sibircon48586.2019.8958227.

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Li, Xingnan, Wendy Moore, Huashi Li, et al. "Longitudinal characteristics of the Severe Asthma Research Program (SARP) clinical clusters." In ERS International Congress 2020 abstracts. European Respiratory Society, 2020. http://dx.doi.org/10.1183/13993003.congress-2020.5038.

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Tzou, K. I., J. A. Wickert, and A. Akay. "Frequency Clusters in the Spectrum of Annular Cylinders." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8153.

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Abstract As the length of a traction-free annudar cylinder is increased, distinct members within any family of radial or longitudinal shear modes have natural frequencies that asymptotically approach a common non-zero value. Such modes, potentially having significantly different numbers of nodes along the cylinder’s generator, can have natural frequencies that are indistinguishable from one another within the resolution of test equipment or numerical simulation. The three-dimensional vibration model discussed here predicts the formation of narrow “frequency clusters” with the cylinder’s increa
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Vanacore, Kirk, Kevin Dieter, Lisa Hurwitz, and Jamie Studwell. "Longitudinal Clusters of Online Educator Portal Access: Connecting Educator Behavior to Student Outcomes." In LAK21: 11th International Learning Analytics and Knowledge Conference. ACM, 2021. http://dx.doi.org/10.1145/3448139.3448195.

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Choi, May Y., Irene Chen, Ann Clarke, et al. "1704 Identifying clusters of longitudinal autoantibody profiles associated with systemic lupus erythematosus disease outcomes." In LUPUS 21ST CENTURY 2021 CONFERENCE, Abstracts of the Fifth Biannual Scientific Meeting of the North and South American and Caribbean Lupus Community, Tucson, Arizona, USA – September 22–25, 2021. Lupus Foundation of America, 2021. http://dx.doi.org/10.1136/lupus-2021-lupus21century.99.

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Fournier, Guillaume J. J., Matthias Haeringer, Camilo F. Silva, and Wolfgang Polifke. "Low-Order Modeling to Investigate Clusters of ITA Modes in Annular Combustors." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15985.

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Abstract The intrinsic thermoacoustic (ITA) feedbackloop constitutes a coupling between flow, flame and acoustics that does not involve the natural acoustic modes of the system. One recent study showed that ITA modes in annular combustors come in significant number and with the peculiar behavior of clusters, i.e. several modes with close frequencies. In the present work an analytical model of a typical annular combustor is derived via Riemann invariants and Bloch theory. The resulting formulation describes the full annular system as a longitudinal combustor with an outlet reflection coefficien
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Bilò, Maria Beatrice, Matteo Martini, Leonardo Antonicelli, et al. "Real-world clusters of severe asthma from the Italian Registry on Severe Asthma (IRSA): a longitudinal Latent Class Analysis." In ERS Congress 2024 abstracts. European Respiratory Society, 2024. http://dx.doi.org/10.1183/13993003.congress-2024.pa4803.

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Pan, Ci-Ling, C. S. Chang, and Jahn-Chung Kuo. "Buildup of steady-state picosecond pulses from an actively mode-locked laser diode array." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mg3.

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We have studied experimentally and theoretically the temporal and spectral characteristics of an actively mode-locked laser diode array in an external cavity as it evolves to the steady state. The steady-state pulse width of the laser output was 45 ps, assuming Gaussian pulse shape. The average output power was 15 mW at 433 MHz. During the first 40 ns after the onset of diode laser action, the laser pulse width sharpened quickly and finally reached the steady state in ~100 ns. This corresponded to forty-five round trips. The number of clusters of the longitudinal-mode spectrum reduces during t
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